于长东

研究领域

所属学科及方向：人工智能学科（人工智能理论基础、智能船舶与海底工程、港航数字化与智能决策）

研究方向：智能感知与决策，包括机器学习、计算机视觉、流体感知与计算、无人系统决策与控制

教育背景

工作经历

教育教学情况

1、承担课程情况

2、出版教材情况

3、承担教改项目情况

4、发表教改论文情况

科学研究情况

1、承担项目情况

主持和参与国家自然科学基金等多项国家级、省部级科研项目，具体如下：

1. 国家自然科学基金委青年基金，基于时空特征深度学习的多帧粒子图像测速方法研究，2025.1至2027.12，主持.

2. 军委科技委创新特区项目课题, xxx演化方法, 2023.6至2025.5, 主持.

3. 辽宁省博士科研启动基金计划项目，基于机器学习的水下航行器尾流场估计及特性研究, 2025.7至2027.7，主持.

4. 哈尔滨工程大学项目, 远洋客船智慧社区功能性及平台统一数据规范评估实验等, 2023.11至2024.11, 主持.

5. 中央高校基本科研业务费，基于深度学习的时间解析粒子图像测速方法研究，2024.1至2024.12，主持.

6. 中央高校基本科研业务费，基于数字孪生的无人艇集群协同控制方法研究，2025.1至2025.12，主持.

7. 装备发展部重点专项，xxx，2021.11至2023.12，参与.

8. 军委科技委创新特区项目，xxx，2023.7至2025.6，参与.

2、发表学术论文情况

目前发表高水平论文40余篇，以第一作者和通讯作者发表论文20余篇，其中两篇亮点论文（Featured Article），一篇ESI前1%高被引论文，具体如下：

期刊论文(一作和通讯作者)：

[1] Yiming Cao, Changdong Yu*, Pan Li, Chenyi Rong, Junpeng Zhu, Shuaiyu Bao. Multi-frame particle image enhancement based on spatiotemporal feature interaction[J]. Physics of Fluids, 2025, 37(7). (SCI , JCR1区).

[2] Changdong Yu,Zhihao Zhang, Xuyang Liu, Chengbin Yang, Yizhuo Wang, Xiao Liang*. Verification method for formation control of USVs based on virtual-real integration[J]. Ocean Engineering, 2025, 335: 121677. (SCI , JCR1区).

[3] Changdong Yu, Xiaotong Gu, Yuhang Yao, Shihan Wang, Xiao Liang*, Liuliu Pan, Yupeng Xiao. Real-time 6-DoF pose estimation for UUVs based on advanced CNN architecture with adaptive loss constraints[J]. Ocean Engineering, 2025, 333: 121425. (SCI , JCR1区).

[4] Qiangqiang Chen, Baisheng Liu, Changdong Yu*, Mingkai Yang, Haonan Guo. Task Allocation and Saturation Attack Approach for Unmanned Underwater Vehicles[J]. Drones, 2025, 9(2): 115. (SCI , JCR1区).

[5] Changdong Yu, Haoke Yin, Chenyi Rong, Xiao Liang*, Ruijie Li, Xinrong Mo. YOLO-MRS: An efficient deep learning-based maritime object detection method for unmanned surface vehicles[J]. Applied Ocean Research, 2024, 153: 104240. (SCI , JCR1区).

[6] Ruijie Li, Changdong Yu*, Xiangrong Qin, Xin An, Jinpeng Zhao, Wenhui Chuai, Baisheng Liu. YOLO-SGC: A Dangerous Driving Behavior Detection Method With Multiscale Spatial-Channel Feature Aggregation[J]. IEEE Sensors Journal, 2024. (SCI , JCR1区).

[7] Changdong Yu, Xiaojun Bi*, Yiwei Fan. Deep learning for fluid velocity field estimation: A review[J]. Ocean Engineering, 2023, 271: 113693. (SCI , JCR1区，高被引论文).

[8] Changdong Yu, Yongpeng Chang, Xiao Liang*, Chen Liang and Zhengpeng Xie. Deep learning for particle image velocimetry with attentional transformer and cross-correlation embedded [J]. Ocean Engineering, 2024, 292:116522. (SCI , JCR1区).

[9] Changdong Yu, Yongpeng Chang, Xiao Liang* and Yiwei Fan. Robust fluid motion estimator based on attentional transformer [J]. IEEE Transactions on Instrumentation & Measurement, 72: 1-14, 2023. (SCI , JCR1区).

[10] Changdong Yu, Yiwei Fan, Xiaojun Bi*, Yunfei Kuai and Yongpeng Chang. Deep dual recurrence optical flow learning for time-resolved particle image velocimetry[J]. Physics of Fluids, 35(4), 2023. (SCI , JCR1区，Featured Article).

[11] Changdong Yu, Xiaojun Bi*, Yiwei Fan, Yang Han, and Yunfei Kuai. LightPIVNet: An effective convolutional neural network for particle image velocimetry. IEEE Transactions on Instrumentation & Measurement, 70:1–15, 2021. (SCI , JCR1区).

[12] Xiaoyu Wang, Ya Tu, Jun Liu, Guangjie Han, Changdong Yu*, Junhong Cui. Edge-enabled modulation classification in the Internet of Underwater Things based on network pruning and ensemble learning [J]. IEEE Internet of Things Journal, 2023. (SCI , JCR1区).

[13] Changdong Yu, Haozhe Luo, Yiwei Fan, Xiaojun Bi*, and Mingjie He. A cascaded convolutional neural network for two-phase flow PIV of an object entering water. IEEE Transactions on Instrumentation & Measurement, 71:1–10, 2022. (SCI , JCR1区).

[14] Xiaojun Bi, Ankang Liu, Yiwei Fan, Changdong Yu*, Zefeng Zhang. FlowSRNet: A multi-scale integration network for super-resolution reconstruction of fluid flows [J]. Physics of Fluids, 2022, 34(12): 127104. (SCI , JCR1区)

[15] Changdong Yu, Haozhe Luo, Xiaojun Bi*, Yiwei Fan, and Mingjie He. An effective convolutional neural network for liquid phase extraction in two-phase flow PIV experiment of an object entering water. Ocean Engineering, 237:109502, 2021. (SCI , JCR1区).

[16] Changdong Yu, Yiwei Fan, Xiaojun Bi*, Yang Han, and Yunfei Kuai. Deep particle image velocimetry supervised learning under light conditions. Flow Measurement & Instrumentation, 80: 102000, 2021. (SCI , JCR2区).

[17] 张志浩,于长东*,刘百胜,范毅伟.基于双分支残差网络的粒子图像增强方法[J].williamhill中国学学报, 2024,50(04):100-109. (北大核心期刊).

[18] 于长东，刘新阳，陈聪，刘殿勇，梁霄*. 基于多智能体深度强化学习的无人艇集群博弈对抗研究[J]. 水下无人系统学报, 2024, 32(01):79-86.

[19] 毕晓君，何明洁，于长东*，范毅伟. 基于深度学习的液相流粒子图像测速估计[J]. 哈尔滨工程大学学报, 44(04): 622-630, 2023. (EI源期刊).

[20] 于长东，毕晓君*，韩阳，李海云，郐云飞. 基于轻量化深度学习模型的粒子图像测速研究[J]. 光学学报, 2020, 40(07):142-149, 2020. (ESCI, EI源期刊).

会议论文：

[1] Haozhe Luo, Changdong Yu, Selvan R*. Hybrid ladder transformers with efficient parallel- cross attention for medical image segmentation[C]//International Conference on Medical Imaging with Deep Learning (PMLR), 2022: 808-819.

3、获得授权专利情况

[1] 一种面向多目标的异构无人艇集群分布式协同决策方法, CN202411224245.2

[2] 一种障碍物环境下无人艇集群协同捕获移动目标的方法, CN202410664205.3

[3] 基于微分博弈的水面无人艇进攻受保护目标区域的方法, CN202410208647.7

4、出版学术专著情况

社会兼职和服务情况

担任《Ocean Engineering》、《Physics of Fluids》、《Neural Networks》、《Engineering Applications of Artificial Intelligence》等多个SCI期刊审稿人.

荣誉获奖情况

1、获得荣誉情况

2023年黑龙江省优秀毕业生.

2021年度博士国家奖学金.

2015年黑龙江省优秀志愿者.

2、获奖情况

指导本科生参加人工智能、机器人等科学类竞赛20余项，获国家一等奖1项，二等奖2项，省奖多项.

指导大学生创新创业项目10余项，国家级大创2项，获优秀国家级项目1项.

指导研究生情况

1、指导硕士研究生情况

2、指导博士研究生情况

3、指导留学生研究生情况

硕士生招生情况

1、研究生招生学科、招生方向和名额

招生学科：0812J1人工智能、085410人工智能、085411大数据技术与工程

招生方向: 机器学习、无人系统决策

招生名额: 拟招收3名研究生

2、研究生招生要求

希望你对科研和人工智能充满兴趣，做研究时踏实认真、全力以赴，闲暇时运动放松、认真生活。做科研需要求真务实、思维灵活，更要有眼界和格局。如果你愿意成为这样的人，欢迎加入，共同成长！